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Data and metadata by country



Country


Data
Identification required


Meta-
data

Open access

Number
of
semi-super
centenarians 

(aged 105 - 109)

 Number
of
super
centenarians

(aged 110+)

Periods covered

Last update*

Austria (AUT)            26162003 - 20142014 - 2016
Belgium (BEL)            1430401977 - 2024 2025
Canada - Quebec (CAN)            321121983 - 2009 2020 - 2022
Denmark (DNK)            44731970 - 20142014 - 2016
England and Wales (EAW)            3 8531791968 - 2020 2020 - 2022
Finland (FIN)            051989 - 20062010
France (FRA)            14 6254291978 - 20242025
Germany (DEU)            928161989 - 20052014 - 2016
Japan (JPN)            0781996 - 20052010
Norway (NOR)            22081986 - 20062014 - 2016
Spain (ESP)            0601989 - 20162014 - 2016
Sweden (SWE)            1258321906 - 20242025
United-States (USA)            3385041979 - 20102014 - 2016

 

Complete IDL database file             23 6811 3721906 - 2024 2025 

* This file allows you to visualize populations within the IDL according to the variables available. It cannot be used to perform statistical analyses.
The periods covered and the individuals included vary between countries, and populations are therefore not directly comparable.

Download the “Codebook of IDL Variables” Excel spreadsheet     

Liste of variables

VariableDescription
COUNTRYCountry-provider of data (alphabetic format XXX)
IDL_IDUnique and personal identifier number of the supercentenarian / semi-supercentenarian (alphanumeric format)
AGEYEARSAge in years (numeric format AAA)
DAYSSINCEBDNumber of days between the death and the last birthday (numeric format)
AGEDAYSAge in days  (numeric format)
SEXThe person’s sex/gender (one-character alphabetic format)
BIRTH_YEARThe person's year of birth (format YYYY)
BIRTH_MONTHThe person's month of birth (format MM)
BIRTH_DAYThe person's day of birth (format DD)
BIRTH_COUNTRYThe person's country of birth (alphabetic format XXX)
BIRTH_LOCALITYMunicipality, commune, or other equivalent local administrative unit where the person was born (format code Nuts3)
DEATH_YEARThe person's year of death (format YYYY)
DEATH_MONTHThe person's month of death (format MM)
DEATH_DAYThe person's day of death (format DD)
DEATH_COUNTRYThe person's country of death (alphabetic format XXX)
DEATH_LOCALITYMunicipality, commune, or other equivalent local administrative unit where the person died (format code Nuts3)
VALIDATIONCode indicating the type of validation (format alphanumeric)

Values of variables

VariableCodeDescription
SexFFemale
MMale
BIRTH_COUNTRY

/

DEATH_COUNTRY

AUTAustria
BELBelgium
CANCanada
DEUGermany
DNKDenmark
EAWEngland and Wales
ESPSpain
FINFinland
FRAFrance
JPNJapan
NORNorway
 SWESweden
 USAUnited States of America

BIRTH_LOCALITY

/

DEATH_LOCALITY

 ATXXXAustria codes NUTS 3: Municipality, commune, or other equivalent local administrative unit where the person was born/died (cf. Excel file for details of codes).
FRXXX

France codes NUTS 3: Municipality, commune, or other equivalent local administrative unit where the person was born/died  (cf. Excel file for details of codes).

All codes were updated according to the official geographic code (code Insee) on January 1, 2025.

UKXXXUnited Kingdom codes NUTS 3: Municipality, commune, or other equivalent local administrative unit where the person was born/died (cf. Excel file for details of codes).
VALIDATIONYESYES: indicates that a validation procedure was successfully completed. This means that an early life document – preferably a birth record, a baptism record, or an early census record – was available and has been checked. Similarly, the date of death of a fully validated case must be backed up by a document, such as a death certificate or an entry in a death index. For several countries, the validation procedure is not documented as thoroughly as the full validation criteria require, but individual cases have been carefully checked. For example, in some cases the local residence register may have officially confirmed a date of death, but did not issue a personal document on the individual. There may also be cases in which the sequence of entries in national censuses had been carefully checked by the respective national statistical office over the course of the individual's life.
SAMPLE OUTSAMPLE OUT: indicates that the record was not included in the sample for validation. This implies that the individual was not validated, but that a random sub-sample of the population was. All cases selected for sample validation (from the population of interest: 105-109 years) must have a validation equal to "YES".

* NUTS  - NOMENCLATURE OF TERRITORIAL UNITS FOR STATISTICS. For more information, please refer to the Eurostat documentation available here

The IDL data are classified by country. For each country, there is a data file available: List of individuals who died at ages 105 and above.
This data file is available in Excel (.xls) and Text (.txt) formats:
each record in the data file contains information about one individual; each person included in the IDL has only one record. These files have the corresponding names: idl_XXX_dead_105+.xls; with XXX representing the country code (ISO 3166-1 alpha-3 code). In addition to the data files, there is a metadata file that provides a general overview of the data, as well as a short description of the age validation process used in that particular country. It is essential to take this information into consideration when performing demographic analyses.

Metadata files are available for download for every country in pdf format. These files contain information on the original data sources and the data collection process, including information on the selected birth cohorts, the age range of the data, and the time window in which the information was sampled. Where available, information on the age validation procedure is also provided in the metadata file.
The name of the metadata file is idl_metadata_XXX.pdf, with XXX representing the country code.

In most cases, thorough validation of the age of individuals who died at extreme ages can only be done by accessing personal information. The person’s name, for example, is needed in order to match census information with birth, marriage or death certificates. The contributors to the IDL have to comply with all data confidentiality regulations in their country and may only authorize specially trained personnel to perform the age validation. No personal information is provided to the public version of the IDL, and personal information is not made available to researchers or anyone else not involved in the validation process.

Download the R script for calculation of the AGEYEARS, AGEDAYS and DAYSSINCEBD variables